All Topics
All Topics
Technology
Technology
AI
AI
Business
Business
Entertainment
Entertainment
News
News
Programming
Programming
Science
Science
Design
Design
Environment
Environment
Finance
Finance
Crypto
Crypto
Politics
Politics
Sports
Sports
Education
Education
Gaming
Gaming
Art
Art
Music
Music
Health
Health
Security
Security
Books
Books
Food
Food
Travel
Travel
Personal
Personal
Bluesky
Twitter

Large-Language-Models-as-a-Judge in Theory-Agnostic Adaptive Metric-Alignment for Prototypical Networks in Personality Recognition

arXiv:2607.08374v1 Announce Type: new Abstract: Personality recognition has traditionally been constrained by theory-dependent formulations, where models are trained to fit predefined psychological…

Read the full article

You might also wanna read

Research Reveals LLMs Contain Built-In Persona Subnetworks Without External Training

Humans shift between different personas depending on social context. Large Language Models (LLMs) demonstrate a similar flexibility in adopt

arxiv.org·4mo ago

Systematic evaluation of 21 LLM-as-a-Judge models reveals reliability flaws and position bias across 541,000 judgments

LLM-as-a-Judge has become the dominant evaluation paradigm for language models, but judge validation in practice relies on exact-match agree

arxiv.org·17d ago

Systematic evaluation of 21 LLM-as-a-Judge models reveals reliability flaws and position bias across 541,000 judgments

LLM-as-a-Judge has become the dominant evaluation paradigm for language models, but judge validation in practice relies on exact-match agree

arxiv.org·17d ago

Language-Based Digital Twin Framework Uses LLMs for Non-Invasive Cognitive Health Monitoring in Elderly

Digital twins have emerged as a promising paradigm for personalized healthcare, enabling modeling of individual behavior and health trajecto

arxiv.org·12d ago

Semantic-Based Distributed Learning for Diverse and Discriminative Representations

In large-scale distributed scenarios, increasingly complex tasks demand more intelligent collaboration across networks, requiring the joint

IEEE·28d ago

AdaJEPA: An Adaptive Latent World Model

Authors: Ying Wang, Oumayma Bounou, Yann LeCun, Mengye Ren

arxiviq.substack.com·4d ago

uGMM-NN: Neural Network Architecture with Gaussian Mixture Model Neurons for Probabilistic Reasoning

This paper introduces the Univariate Gaussian Mixture Model Neural Network (uGMM-NN), a novel neural architecture that embeds probabilistic

arxiv.org·10mo ago

Comments

Sign in to join the conversation.

No comments yet. Be the first.